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Asymmetric information linkages across select futures and spot indices: Evidence using wavelet-based GARCH model

Saif Siddiqui (Centre for Management Studies, Jamia Millia Islamia, New Delhi, India)
Preeti Roy (Centre for Management Studies, Jamia Millia Islamia, New Delhi, India)

Journal of Advances in Management Research

ISSN: 0972-7981

Article publication date: 10 March 2020

Issue publication date: 22 June 2020

139

Abstract

Purpose

The study investigates the amplitude and direction of the movement of information between spot and futures indices. The study progresses to account for the investor's heterogeneity and compare the evolving structure of investors in emerging and developed economies. Further, the structural linkages in terms of returns and variance have been explored for the futures indices to contribute to meteor shower literature as explained by Engle et al. (1990); Yarovaya et al. (2017).

Design/methodology/approach

To facilitate the purpose, the Indian and Chinese markets were selected to represent emerging economies and the United States for developed one. The bivariate wavelet cum BEKK-GARCH (1,1) model was estimated.

Findings

For the developed markets, like the United States, the spot market improves its information transmission role with time horizon while exactly opposite holds for the Chinese market. A bidirectional overnight information spillover was found for all three pairs. The Indian futures market was vulnerable to bad news from the other two markets. Evidence suggesting the dominance of institutional investors in the Chinese futures market and retail investors in the Indian futures market is found.

Originality/value

The spot–futures relation has been studied on both the time and frequency domains considering different investment horizons. Due consideration has been taken to account for the overlapping trading hours.

Keywords

Citation

Siddiqui, S. and Roy, P. (2020), "Asymmetric information linkages across select futures and spot indices: Evidence using wavelet-based GARCH model", Journal of Advances in Management Research, Vol. 17 No. 3, pp. 397-419. https://doi.org/10.1108/JAMR-10-2019-0197

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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